Selection of the best regression model to explain the variables that influence labor accident electrical company case
Artículo de revista
2017
Medwell Journals
The present research proposes an alternative to select the best model that explains the relation of the variables that influence the labor accident in an electric power company. Among the techniques and
tools used are those of occupational safety and health management, multivariate statistics, generalized
linear models, the values of the deviation percentage explained and the adjusted percentage, and the
Akaike and Bayesian information criteria. The following variables were identified through the
mentioned techniques: management commitment, compliance with legislation, prevention planning,
training in prevention, updating of occupational risk management and policies that have a significant
influence on work accident and through The percentages and of the previously mentioned criteria were
able to show that the logistic regression is the best model that explains the labor accident by presenting
the highest percentage and the lowest values of the criteria when compared with the Poisson
regression and negative binomial models.
- Artículos científicos [3156]
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Selection of the best regression model to explain the variables that influence labor accident electrical company case.pdf
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Título: Selection of the best regression model to explain the variables that influence labor accident electrical company case.pdf
Tamaño: 305.0Kb
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